Luc Rocher
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
Papers in
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- Privacy-Preserving Technologies in Data 4
- Internet Traffic Analysis and Secure E-voting 3
- Cryptography and Data Security 1
- Computational Physics and Python Applications 1
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- Privacy, Security, and Data Protection 3
- Co-authors
- Yves-Alexandre de Montjoye (7 shared papers)Julien M. Hendrickx (2 shared papers)Alex Pentland (1 shared paper)Benjamin Livshits (1 shared paper)
- Journals
- Science Advances (1 paper)Journal of Machine Learning Research (1 paper)Nature Communications (1 paper)Nature Machine Intelligence (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomBelgiumSwitzerland
In The Last Decade
Luc Rocher
7 papers receiving 452 citations
Luc Rocher's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 68
- Artificial Intelligence 219
- Transportation 38
- Safety Research 39
- Information Systems 86
Countries citing papers authored by Luc Rocher
This map shows the geographic impact of Luc Rocher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luc Rocher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Rocher more than expected).
Fields of papers citing papers by Luc Rocher
This network shows the impact of papers produced by Luc Rocher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luc Rocher. The network helps show where Luc Rocher may publish in the future.
Co-authors
The 4 scholars most cited alongside Luc Rocher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Estimating the success of re-identifications in incomplete datasets using generative models Hit paper breakdown → | 2019 | 422 |
| 2 | bandicoot: a python toolbox for mobile phone metadata | 2016 | 24 |
| 3 | 2024 | 13 | |
| 4 | Solving Artificial Intelligence’s Privacy Problem | 2017 | 10 |
| 5 | 2018 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 1 |
About Luc Rocher
Luc Rocher is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Safety Research and Transportation, having authored 7 papers that have together received 477 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Privacy, Security, and Data Protection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Green IT and Sustainability (1 paper), Cryptography and Data Security (1 paper), Computational Physics and Python Applications (1 paper), Game Theory and Applications (1 paper) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Health Informatics (68 citations), Artificial Intelligence (219 citations), Transportation (38 citations), Safety Research (39 citations) and Information Systems (86 citations). Luc Rocher has collaborated with scholars based in United Kingdom, Belgium and Switzerland. Frequent co-authors include Yves-Alexandre de Montjoye, Julien M. Hendrickx, Alex Pentland and Benjamin Livshits. Their work appears in journals such as Science Advances, Journal of Machine Learning Research, Nature Communications, Nature Machine Intelligence and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.